CN102521687A - Miniaturized universal platform for preprocessing remote-sensing satellite data - Google Patents
Miniaturized universal platform for preprocessing remote-sensing satellite data Download PDFInfo
- Publication number
- CN102521687A CN102521687A CN2011103934349A CN201110393434A CN102521687A CN 102521687 A CN102521687 A CN 102521687A CN 2011103934349 A CN2011103934349 A CN 2011103934349A CN 201110393434 A CN201110393434 A CN 201110393434A CN 102521687 A CN102521687 A CN 102521687A
- Authority
- CN
- China
- Prior art keywords
- layer
- data
- module
- platform
- service
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a miniaturized universal platform for preprocessing remote-sensing satellite data. Hardware equipment of the platform comprises a common PC (Personal Computer) server, an NFS (Network File System) storage system and decompression equipment among which communication is carried out by an Ethernet; a basic structure of the platform comprises an inner core layer, a module layer and a service layer; the common PC server comprises a management node and a processing node; the inner core layer and the service layer are deployed on the management node; the module layer is deployed in the NFS storage system; the decompression equipment outputs a signal to a demodulator to carry out data format decompression processing; the module layer comprises various data processing algorithms of remote-sensing satellites and the data processing algorithms operate on the processing node when being called; the service layer analyzes an XML (Extensible Markup Language) file which is input from outside and describes the processing flow of the remote-sensing satellites to be processed, selects the algorithms suitable for data processing of the satellites from the module layer and carries out service logic combination on the algorithms; and the inner core layer calls the corresponding algorithms in the module layer according to the service logic relation, carries out data processing on data output by the decompression equipment and generates needed data products.
Description
Technical field
The present invention relates to a kind of remote sensing satellite data pre-service miniaturization general-purpose system, belong to computer technology, satellite remote sensing date processing.
Background technology
The satellite remote sensing date pretreatment system is positioned at the intermediate link of whole earth observation from space link, and main task is to accomplish the production and the distribution of the pre-service of biography raw data under the satellite, filing, product.The develop rapidly of Along with computer technology and satellite sensor technology; The single star dedicated system of pretreatment system from being the basis with special hardware frameworks such as minicomputer or vector machines develops into commercialization PC cluster, SAN optical fiber and shares many stars multitask remotely-sensed data pretreatment system that common hardware frameworks such as storage system and Infiniband express network are the basis.
Back type systematic overcome that the former system development cycle is long, cost is high, shortcoming such as easy care expansion not, but the scale of system is still huger, needs to build the data center in special use, and the land station of general and responsible satellite data reception separates construction.Under the ordinary business practice pattern, land station is according to the arrangement of satellite imagery task, the data that pass under reception, record and the storing satellite, and data are transferred to the pretreatment system of data processing centre (DPC) through fiber optic network.After receiving data, pretreatment system carries out rough handling with raw data earlier, isolates image data and auxiliary data.If data under encryption is arranged when passing, pretreatment system also needs decipher data earlier.According to attitude of satellite information and the sensor states in the auxiliary data; Pretreatment system carries out various processing such as radiant correction, geometry correction to image data; Generate product data at different levels according to certain product form again, and carry out the data product storage backup and distribute to the remote sensing user through data filing system and data distribution systems.
Summary of the invention
Technology of the present invention is dealt with problems and is: overcome the deficiency of prior art, a kind of remote sensing satellite data pre-service miniaturization general-purpose platform is provided, this platform can move according to the needs of environment for use and dispose fast flexibly.
The technical matters that the present invention further solves is: platform of the present invention can be expanded at the aspects such as kind of data-handling capacity, storage distribution and processing satellite data easily.
Technical solution of the present invention is: remote sensing satellite data pre-service miniaturization general-purpose platform, and platform hardware equipment comprises common PC server, NFS storage system and decompression apparatus, communicates through Ethernet between the above-mentioned hardware device; The platform basic framework is divided into inner nuclear layer, module layer and operation layer; Common PC server comprises management node and processing node, and management node deploy inner nuclear layer and operation layer, processing node provide the computing ability; Module layer is deployed in the NFS storage system; Decompression apparatus directly is connected with the demodulator device of satellite ground station, and detuner output signal is carried out the data layout decompression;
Comprise the various data processing algorithms of remote sensing satellite in the module layer, operate on the processing node when being called;
Operation layer is resolved the XML file of treatment scheme of the pending remote sensing satellite of description of outside input, according to file content, in module layer, selects to be fit to the algorithm that this satellite data is handled; And, above-mentioned algorithm is carried out the service logic combination according to the Remote Sensing Data Processing flow process;
Inner nuclear layer with respective algorithms in the module layer, carries out data processing to the output data of decompression apparatus according to the service logic related key that combines on the operation layer, the data product that generation needs.
The platform basic framework also comprises extension layer, comprises the follow-up expansion module that the data product is further handled in the extension layer, and extension layer directly is connected into Ethernet; Operation layer is selected expansion module according to the follow-up business demand in extension layer, and the algorithm in this expansion module and the module layer is carried out the service logic combination; Inner nuclear layer control expansion module carries out extension process to the data product that has generated.
Described expansion module comprises the module of the remote sensing satellite data processed result being carried out back-up storage, distribution or subsequent applications, or issues the task layout module of Processing tasks automatically according to satellite orbit parameter.
Described platform hardware also comprises data-signal acquisition and recording appearance, and data-signal acquisition and recording appearance access network based on ethernet also directly is connected with the demodulator device of satellite ground station, and detuner output signal is gathered, write down and is kept in the NFS storage system.
Described inner nuclear layer comprises workflow engine, job scheduling engine, data persistence engine, Application Middleware and database; The service logic relation on the operation layer is in charge of and is controlled to workflow engine; According to the respective algorithms of service logic relation through job scheduling engine calling module layer; Data message in the data handling procedure stores in the database through the data persistence engine, and Application Middleware is that above-mentioned engine provides unified running environment.
Described inner nuclear layer also comprises interface engine; Interface engine operates on the Application Middleware; Be responsible for the interface definition form between each layer of maintenance platform basic framework,, and the interface message of transmitting between each layer carried out format checking for the interface message transmission between each layer provides standard criterion.
The present invention compared with prior art beneficial effect is:
(1) hardware structure of platform of the present invention is the basis with common commercial PC server, NFS storage system and gigabit Ethernet network; The complexity and the scale of platform have been reduced; Improved the reliability and the dirigibility of platform, made platform move the deployment of installing and in 2 hours, accomplishing platform flexibly according to the variation of user demand and environment for use.
(2) decompression apparatus that platform of the present invention comprised directly is connected with the demodulator device of land station, makes platform when the satellite down-transmitting data, just begin real-time data processing, has improved the promptness that data product obtains.The acquisition and recording appearance carries out record simultaneously with the signal of detuner output, and is kept in the shared storage, has improved the reliability of platform for satellite data as the backup means.
(3) software architecture of platform of the present invention is towards reconfigurable operation flow; The function of platform has been carried out the abstract definition on the basis of workflow; And the interface content of platform inside carried out standardized definition, and support to carry out the interface secondary development according to different satellite sensor types, make the inner nuclear layer of platform and operation layer not rely on concrete satellite sensor type; Can be in platform the data processing module of the different satellites of fast integration, expand to the processing power of multiple satellite data.
(4) inner nuclear layer of platform basic framework of the present invention has comprised the job scheduling engine, and supporting dynamically increases processing node to platform, with the satellite data processing power of expansion platform, shortens the processing time of data, improves ageing.
(5) the present invention isolates functions such as some data backups, product distribution, the layout of satellite task on the extension layer that separates with the platform inner nuclear layer; The Webservice agreement of employing standard is as interface mode; Extension layer and whole data preprocessing process are relatively independent, can add according to application demand neatly.Because the inner nuclear layer of platform basic framework of the present invention has comprised interface engine, support to carry out the interface secondary development according to the difference of function, extension layer is integrated in the platform, with the function of expansion platform under the prerequisite that does not influence platform stable property.
Description of drawings
Fig. 1 is a hardware block diagram of the present invention;
Fig. 2 is basic framework figure of the present invention;
Fig. 3 is operation logic figure of the present invention.
Embodiment
Introduce implementation procedure of the present invention in detail below in conjunction with accompanying drawing.
As shown in Figure 1, the hardware device of remote sensing satellite data pre-service miniaturization general-purpose platform comprises common PC server, disk array, data-signal acquisition and recording appearance and decompression apparatus, communicates through Ethernet between the above-mentioned hardware device;
Disk array provides shared stores service (also can be described as the NFS storage system) with the NFS mode to other hardware devices; Decompression apparatus, data-signal acquisition and recording appearance directly are connected with the demodulator device of satellite ground station respectively; On physical interface, support BNC or SMA etc.; On electric interfaces, support difference or single-ended ECL etc., decompression apparatus carries out the data layout decompression to detuner output signal; Data-signal acquisition and recording appearance is gathered, is write down and be kept in the disk array detuner output signal.
Common PC server comprises a management node and Duo Tai processing node, and management node is responsible for the service management of platform, and a plurality of processing nodes are formed one and calculated cluster, are used for the data processing task of supporting platform.
If platform needs other functions such as growth data backup, distribution, special topic application and task layout; Only need the system of expanded function be connected into through Ethernet on the Ethernet switch of platform on the hardware, the assurance expanding system can be communicated by letter by proper network with platform.
As shown in Figure 2, the platform basic framework is divided into inner nuclear layer, module layer and operation layer; Can also comprise extension layer (being the above-mentioned expanding system of mentioning) according to business demand.Inner nuclear layer and operation layer are deployed on the management node; Module layer is deployed in the NFS storage system; Be to realize being elaborated to each layer respectively below.
(1) module layer
Comprise the various data processing algorithms of remote sensing satellite in the module layer, operate on the processing node when being called; Data processing algorithm is packaged into the executable program module of standard according to the rule of interface engine definition in the inner nuclear layer, and is deployed on the disk array.Processing Algorithm commonly used comprises the radiant correction algorithm, divides scape catalogue algorithm, geometry correction algorithm etc.Above-mentioned algorithm all is the algorithms most in use in the remote sensing satellite data processing.
For example, each algorithm in the module layer can adopt following form to carry out Unified Treatment:
ModeName(Command?input?output)
{
}
Wherein, ModeName represents above-mentioned radiant correction algorithm, divides scape catalogue algorithm scheduling algorithm executable program title;
The algorithm executable program title that the Command representative is imported into;
Input represents the absolute path of input information file;
Output represents the absolute path of output information file, should comprise information such as The results of data processing, data processed file path.
(2) extension layer
Comprise the follow-up expansion module that the data product is further handled in the extension layer, extension layer directly is connected into Ethernet; Described expansion module comprises the module of the remote sensing satellite data processed result being carried out back-up storage, distribution or subsequent applications, or issues the task layout module of Processing tasks automatically according to satellite orbit parameter.
Back-up storage is moved data product as data backup exactly, can be stored in the storage system that expanding system carries, for example magnetic tape station, tape library or other storage mediums.
Distribution just provides a kind of means, and data product is distributed to the user, the user according to the dissemination system of expansion carry out the browsing of product, inquire about, order, download etc.
Subsequent applications can be carried out geometric accurate correction, just penetrate processing, thematic product treatment (for example from data product, obtaining somewhere, green vegetation coverage information etc. in certain time period) exactly the data product.
The task layout is meant according to satellite orbit parameter and land station longitude and latitude calculates the imaging time of satellite to the designated area, and generates corresponding plan target (comprising the task start moment, satellite sensor kind, operation flow, manufacturing parameter etc.) and be handed down to platform.Platform can be handled the data that pass under the satellite at above-mentioned imaging time according to plan target.
(3) operation layer
Operation layer is resolved the XML file of treatment scheme of the pending remote sensing satellite of description of outside input, according to file content, in module layer, selects to be fit to the algorithm that this satellite data is handled; According to the follow-up business demand, in extension layer, select expansion module; And, above-mentioned algorithm and expansion module are carried out the service logic combination according to the Remote Sensing Data Processing flow process;
According to the workflow defining of workflow alliance (WFMC), on the operation layer satellite data flow process of managing business to be described and defined, each functional module on molded tissue block layer and the extension layer is carried out the service logic modeling of satellite data processing procedure.A kind of satellite data tupe may be defined as a kind of flow process.A Processing Algorithm module in data handling procedure or a function on the extension layer can be defined by an activity that belongs in the flow process.A flow definition is made up of the activity definition of a plurality of completion specific tasks.Comprise information such as unique ID of flow definition, task that flow process is accomplished, trigger event, composition activity in the description of the flow process definition.A relatively independent logical unit of work has been represented in activity, bears concrete active task, is responsible for each functional module on calling module layer and the extension layer, and to the functional module transmission.Essential informations such as unique ID that should the activity definition, the interface content of carrying out this movable functional module, the movable time restriction of carrying out, input and output, trigger event have been comprised in the movable description definition.Can define a flow process description document according to certain flow rules.This document is one and meets WFMC workflow reference model standard XML formatted file.For example, HJ-1A satellite data treatment scheme defined file is following:
Wherein, defined the ID of flow process in the file, movable ID, movable corresponding functional module, module are disposed the information such as logical relation between path and the activity.
Need have the function that the flow definition file that data are handled carries out syntax parsing on the operation layer.After flow definition finished, operation layer was resolved according to the workflow rules of standard and (in module layer, is selected to be fit to the algorithm that this satellite data is handled; According to the follow-up business demand, in extension layer, select expansion module; And, above-mentioned algorithm and expansion module are carried out the service logic combination according to the Remote Sensing Data Processing flow process), the legitimacy of judgement flow definition.After judgement is passed through, this flow process descriptor is published to the inner nuclear layer of platform, and stores in the database.After flow process was triggered, the workflow engine on the inner nuclear layer started this operation flow, creates a flow instance.According to the plan target of different time points, platform can trigger under a flow definition creates a plurality of flow instances.Each activity in the flow instance is called active instance, and a flow instance comprises a plurality of active instance.Flow instance is that the work that certain active instance of completion wants the participant to do is called work item in the circulation process, and each active instance can comprise one or more work item.For example, when the operation flow of platform ran to the activity of branch scape catalogue, it was exactly to distribute to this movable work item that a last activity output data is carried out branch scape catalogue task.Activity Description information and input and output content have been comprised in the work item information.
(4) inner nuclear layer
Inner nuclear layer; According to the service logic related key that combines on the operation layer with respective algorithms in the module layer and extension layer; Output data to decompression apparatus is carried out data processing; The data product that generation needs, and the data product carried out extension process such as data backup, product distribution or task layout.
Inner nuclear layer is positioned at the bottom of platform, operates on the operating system, comprises workflow engine, job scheduling engine, interface engine, data persistence engine, Application Middleware and database.
Workflow engine belongs to the heart of platform; Be in charge of and control the operation flow on the operation layer; The ruuning situation of flow is dispatched, i.e. the operation flow of drives platform running, and each task is to concrete functional module in the assignment flow process; Make between each functional module in the data handling procedure according to certain operation flow that has defined rule automatic data transmission information, finally handle out the remotely-sensed data product.Common commercial products such as JBPM can oneself developed or adopt to workflow engine.
The job scheduling engine is responsible for processing operation is dispatched and processing server is carried out monitoring resource; Realization is carried out distributed task management to the calculating cluster of being made up of a plurality of processing server; Make platform computational tasks reasonably distributed to the processing server that calculates in the cluster according to the loading condition of processing server.The job scheduling engine need cooperate the task scheduling work of responsive operation stream engine; The Processing tasks that workflow engine distributes is regular according to certain job scheduling; Resource load situation according to calculating cluster is reasonably distributed to processing server to Processing tasks, and the operation execution result on the processing server is returned to workflow engine.Common commercial products such as LSF, PBS can oneself developed or adopt to the job scheduling engine.
Interface engine mainly is responsible for the interface definition form between each layer of maintenance platform, for the interface message transmission between each layer of platform provides standard criterion, and the interface message of transmitting between each layer is carried out format checking.When changing or when expanding, need carry out the interface secondary development according to the interface definition rule and the expansion demand of interface engine definition earlier to the satellite sensor of platform processes and function, again with the interface content release of redetermination to platform.Platform defines new interface through interface engine and carries out the legitimacy parsing.Each data processing function module that defines on the module layer is called through the job scheduling engine with the mode of executable program, and the employing of the interface message between the inner nuclear layer is transmitted based on the mode of XML file.Different with module layer, the function system on the extension layer generally has relative independence, adopts conduct of Webservice standard and the mutual interface mode of inner nuclear layer.
Above-mentioned interface standard standard should define respectively to module layer or the concrete module effect of extension layer.With the geometry correction algorithm in the module layer is example; Because the geometry correction algorithm generally need be known satellite kind, sensor kind, orbit parameter and information such as attitude parameter type, pending file path, the interface specification form of geometry correction algorithm is exemplified below:
<wei Xing>HJ-1A</Wei Xing>
<chuan Ganqi>CCD</Chuan Ganqi>
<gui Daocanshuo>DMA</Gui Daocanshuo>
<zi Taicanshuo>GPS</Zi Taicanshuo>
<shu Ruwenjian>XX</Shu Ruwenjian>(XX represents the absolute path of input file)
Above-mentioned packets of information is contained in the input file that the geometry correction algorithm imports parameter into.
The data persistence engine has comprised the persistence serviced component; Adopt present popular ORM technology to develop; Main being responsible for service logic in the operation layer and data logical separation; All need the information of persistent storage and concrete data entity to carry out relationship maps with the business information of flow process generation in service, flow performing information, data product metamessage etc. in the data handling procedure, and be saved in respectively in database or the disk file according to memory requirement.
Application Middleware and database between other assemblies, are responsible for workflow engine, interface engine and data persistence engine respectively unified running environment and data storage environment are provided in operating system and inner nuclear layer as the support programs in the inner nuclear layer.
The service logic in platform when operation is as shown in Figure 3, and the task source of platform is divided into two kinds, and a kind of is operation interface through platform, artificial incoming task information; Another kind is the task arranging system through extension layer, and platform calculates the imaging moment that satellite passes by automatically according to satellite orbit parameter, and generates corresponding mission bit stream.Mission bit stream comprises the task start moment, satellite sensor kind, operation flow, manufacturing parameter etc.
When satellite passed by, the data that satellite passes were down divided the data-signal after two-way is exported demodulation through detuner.According to plan target, platform is according to the operation flow that has defined, and the workflow engine on the inner nuclear layer starts the instance of operation flow automatically, and the active instance of log-on data decompression and acquisition and recording arrives acquisition and recording appearance and decompression apparatus with Task Distribution respectively.Wherein be recorded as raw data after one tunnel signals collecting, and store on the disk array, other one road signal is deciphered and decompression.After decompression finishes; Platform drives operation flow and carries out activities such as branch scape catalogue, data filing, radiant correction, geometry correction, product generation successively; And through the job scheduling engine; Processing node loading condition according to calculating in the cluster reasonably carries out data processing with above Task Distribution to certain processing node, and the data product of the standard of generation.If be integrated with the system on the extension layers such as data backup or distribution on the platform, platform also need drive the activity that operation flow is carried out backup or distribution after data processing finishes.Otherwise platform directly finishes this flow process, accomplishes this subtask.
Platform drives operation flow at every turn when carrying out movable in the instance; Platform can call the interface engine on the inner nuclear layer; Interface message in the work item (like the input in the input information, output file) is resolved according to interface configuration, and be transmitted to the executable program module in the activity.After activity was finished, movable readjustment returned interface, and interface engine is resolved return message, and result is submitted to workflow engine, drove operation flow and moved towards next movable.
The unspecified part of the present invention belongs to general knowledge as well known to those skilled in the art.
Claims (6)
1. remote sensing satellite data pre-service miniaturization general-purpose platform, it is characterized in that: platform hardware equipment comprises common PC server, NFS storage system and decompression apparatus, communicates through Ethernet between the above-mentioned hardware device; The platform basic framework is divided into inner nuclear layer, module layer and operation layer; Common PC server comprises management node and processing node, and management node deploy inner nuclear layer and operation layer, processing node provide the computing ability; Module layer is deployed in the NFS storage system; Decompression apparatus directly is connected with the demodulator device of satellite ground station, and detuner output signal is carried out the data layout decompression;
Comprise the various data processing algorithms of remote sensing satellite in the module layer, operate on the processing node when being called;
Operation layer is resolved the XML file of treatment scheme of the pending remote sensing satellite of description of outside input, according to file content, in module layer, selects to be fit to the algorithm that this satellite data is handled; And, the algorithm in the above-mentioned module layer is carried out the service logic combination according to the Remote Sensing Data Processing flow process;
Inner nuclear layer with respective algorithms in the module layer, carries out data processing to the output data of decompression apparatus according to the service logic related key that combines on the operation layer, the data product that generation needs.
2. remote sensing satellite data pre-service miniaturization general-purpose platform according to claim 1; It is characterized in that: the platform basic framework also comprises extension layer; Comprise the follow-up expansion module that the data product is further handled in the extension layer, extension layer directly is connected into Ethernet; Operation layer is selected expansion module according to the follow-up business demand in extension layer, and the algorithm in this expansion module and the module layer is carried out the service logic combination; Inner nuclear layer control expansion module carries out extension process to the data product that has generated.
3. remote sensing satellite data pre-service miniaturization general-purpose platform according to claim 2; It is characterized in that: described expansion module comprises the module of the remote sensing satellite data processed result being carried out back-up storage, distribution or subsequent applications, or issues the task layout module of Processing tasks automatically according to satellite orbit parameter.
4. remote sensing satellite data pre-service miniaturization general-purpose platform according to claim 1 and 2; It is characterized in that: described platform hardware also comprises data-signal acquisition and recording appearance; Data-signal acquisition and recording appearance access network based on ethernet also directly is connected with the demodulator device of satellite ground station, and detuner output signal is gathered, write down and is kept in the NFS storage system.
5. remote sensing satellite data pre-service miniaturization general-purpose platform according to claim 1 and 2, it is characterized in that: described inner nuclear layer comprises workflow engine, job scheduling engine, data persistence engine, Application Middleware and database; The service logic relation on the operation layer is in charge of and is controlled to workflow engine; According to the respective algorithms of service logic relation through job scheduling engine calling module layer; Data message in the data handling procedure stores in the database through the data persistence engine, and Application Middleware is that above-mentioned engine provides unified running environment.
6. remote sensing satellite data pre-service miniaturization general-purpose platform according to claim 5; It is characterized in that: described inner nuclear layer also comprises interface engine; Interface engine operates on the Application Middleware; Be responsible for the interface definition form between each layer of maintenance platform basic framework,, and the interface message of transmitting between each layer carried out format checking for the interface message transmission between each layer provides standard criterion.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110393434.9A CN102521687B (en) | 2011-12-01 | 2011-12-01 | Miniaturized universal platform for preprocessing remote-sensing satellite data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110393434.9A CN102521687B (en) | 2011-12-01 | 2011-12-01 | Miniaturized universal platform for preprocessing remote-sensing satellite data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102521687A true CN102521687A (en) | 2012-06-27 |
| CN102521687B CN102521687B (en) | 2014-12-24 |
Family
ID=46292598
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201110393434.9A Active CN102521687B (en) | 2011-12-01 | 2011-12-01 | Miniaturized universal platform for preprocessing remote-sensing satellite data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102521687B (en) |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102832988A (en) * | 2012-08-22 | 2012-12-19 | 中国科学院对地观测与数字地球科学中心 | System and method for acquiring and distributing baseband data of remote sensing satellite |
| CN105897653A (en) * | 2014-11-28 | 2016-08-24 | 韩成阳 | High-performance mobile device framework |
| CN106293687A (en) * | 2015-06-25 | 2017-01-04 | 腾讯科技（深圳）有限公司 | The control method of a kind of flow process of packing, and device |
| CN106952256A (en) * | 2017-03-21 | 2017-07-14 | 哈尔滨工业大学 | Optical remote satellite image quality lifts all-around test stand |
| CN107066205A (en) * | 2016-12-30 | 2017-08-18 | 曙光信息产业(北京)有限公司 | A kind of data-storage system |
| CN107783839A (en) * | 2017-09-05 | 2018-03-09 | 中国科学院空间应用工程与技术中心 | A kind of multi-load data processing method and system |
| CN108090865A (en) * | 2017-12-15 | 2018-05-29 | 武汉大学 | The in-orbit real-time streaming processing method of optical satellite remote sensing image and system |
| CN109144566A (en) * | 2017-06-26 | 2019-01-04 | 龙芯中科技术有限公司 | The access method and equipment of real time operating system framework, real-time kernel |
| CN109871269A (en) * | 2019-01-15 | 2019-06-11 | 中国人民解放军63921部队 | A kind of Remote Sensing Data Processing method, system, electronic equipment and medium |
| CN110659125A (en) * | 2018-06-28 | 2020-01-07 | 杭州海康威视数字技术股份有限公司 | Analysis task execution method, device and system and electronic equipment |
| CN110941463A (en) * | 2019-11-13 | 2020-03-31 | 中国科学院遥感与数字地球研究所 | Remote sensing satellite data preprocessing multistage product self-driven system |
| CN111177083A (en) * | 2019-12-19 | 2020-05-19 | 胡友彬 | Authorization information analysis and file data analysis system |
| CN112308443A (en) * | 2020-11-09 | 2021-02-02 | 中国科学院空天信息创新研究院 | Batch scheduling method and device for remote sensing information product generation workflow |
| CN112333271A (en) * | 2020-11-04 | 2021-02-05 | 北京微纳星空科技有限公司 | Satellite data storage system, method, electronic equipment and storage medium |
| CN114465652A (en) * | 2021-12-22 | 2022-05-10 | 中国科学院空天信息创新研究院 | Universal extensible remote sensing satellite data real-time quick-look processing and scheduling system |
| CN114510297A (en) * | 2022-03-31 | 2022-05-17 | 国家卫星海洋应用中心 | Satellite data reprocessing method and device and electronic equipment |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101110079A (en) * | 2007-06-27 | 2008-01-23 | 中国科学院遥感应用研究所 | Digital globe antetype system |
| CN101315424A (en) * | 2008-07-29 | 2008-12-03 | 中国科学院对地观测与数字地球科学中心 | Multi-satellite remote sensing data integrated parallel ground pretreatment system |
| CN102014154A (en) * | 2010-11-05 | 2011-04-13 | 山东科技大学 | Grid service-based remote sensing image extraction and sharing system and method |
-
2011
- 2011-12-01 CN CN201110393434.9A patent/CN102521687B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101110079A (en) * | 2007-06-27 | 2008-01-23 | 中国科学院遥感应用研究所 | Digital globe antetype system |
| CN101315424A (en) * | 2008-07-29 | 2008-12-03 | 中国科学院对地观测与数字地球科学中心 | Multi-satellite remote sensing data integrated parallel ground pretreatment system |
| CN102014154A (en) * | 2010-11-05 | 2011-04-13 | 山东科技大学 | Grid service-based remote sensing image extraction and sharing system and method |
Cited By (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104967561A (en) * | 2012-08-22 | 2015-10-07 | 中国科学院对地观测与数字地球科学中心 | Remote sensing satellite base band data distribution device and distribution method |
| CN102832988A (en) * | 2012-08-22 | 2012-12-19 | 中国科学院对地观测与数字地球科学中心 | System and method for acquiring and distributing baseband data of remote sensing satellite |
| CN104967561B (en) * | 2012-08-22 | 2018-11-09 | 中国科学院对地观测与数字地球科学中心 | The data delivery device and distribution method of remote sensing satellite base band data |
| CN105897653A (en) * | 2014-11-28 | 2016-08-24 | 韩成阳 | High-performance mobile device framework |
| CN106293687B (en) * | 2015-06-25 | 2019-11-19 | 腾讯科技（深圳）有限公司 | A kind of control method and device being packaged process |
| CN106293687A (en) * | 2015-06-25 | 2017-01-04 | 腾讯科技（深圳）有限公司 | The control method of a kind of flow process of packing, and device |
| CN107066205A (en) * | 2016-12-30 | 2017-08-18 | 曙光信息产业(北京)有限公司 | A kind of data-storage system |
| CN107066205B (en) * | 2016-12-30 | 2020-06-05 | 曙光信息产业(北京)有限公司 | Data storage system |
| CN106952256A (en) * | 2017-03-21 | 2017-07-14 | 哈尔滨工业大学 | Optical remote satellite image quality lifts all-around test stand |
| CN109144566A (en) * | 2017-06-26 | 2019-01-04 | 龙芯中科技术有限公司 | The access method and equipment of real time operating system framework, real-time kernel |
| CN107783839A (en) * | 2017-09-05 | 2018-03-09 | 中国科学院空间应用工程与技术中心 | A kind of multi-load data processing method and system |
| CN108090865B (en) * | 2017-12-15 | 2021-06-15 | 武汉大学 | Optical satellite remote sensing image on-orbit real-time streaming processing method and system |
| CN108090865A (en) * | 2017-12-15 | 2018-05-29 | 武汉大学 | The in-orbit real-time streaming processing method of optical satellite remote sensing image and system |
| CN110659125A (en) * | 2018-06-28 | 2020-01-07 | 杭州海康威视数字技术股份有限公司 | Analysis task execution method, device and system and electronic equipment |
| CN109871269A (en) * | 2019-01-15 | 2019-06-11 | 中国人民解放军63921部队 | A kind of Remote Sensing Data Processing method, system, electronic equipment and medium |
| CN110941463A (en) * | 2019-11-13 | 2020-03-31 | 中国科学院遥感与数字地球研究所 | Remote sensing satellite data preprocessing multistage product self-driven system |
| CN110941463B (en) * | 2019-11-13 | 2021-12-03 | 中国科学院遥感与数字地球研究所 | Remote sensing satellite data preprocessing multistage product self-driven system |
| CN111177083A (en) * | 2019-12-19 | 2020-05-19 | 胡友彬 | Authorization information analysis and file data analysis system |
| CN112333271A (en) * | 2020-11-04 | 2021-02-05 | 北京微纳星空科技有限公司 | Satellite data storage system, method, electronic equipment and storage medium |
| CN112333271B (en) * | 2020-11-04 | 2022-06-07 | 北京微纳星空科技有限公司 | Satellite data storage system, method, electronic equipment and storage medium |
| CN112308443A (en) * | 2020-11-09 | 2021-02-02 | 中国科学院空天信息创新研究院 | Batch scheduling method and device for remote sensing information product generation workflow |
| CN114465652A (en) * | 2021-12-22 | 2022-05-10 | 中国科学院空天信息创新研究院 | Universal extensible remote sensing satellite data real-time quick-look processing and scheduling system |
| CN114465652B (en) * | 2021-12-22 | 2023-11-14 | 中国科学院空天信息创新研究院 | General extensible remote sensing satellite data real-time quick-viewing processing scheduling system |
| CN114510297A (en) * | 2022-03-31 | 2022-05-17 | 国家卫星海洋应用中心 | Satellite data reprocessing method and device and electronic equipment |
| CN114510297B (en) * | 2022-03-31 | 2022-07-01 | 国家卫星海洋应用中心 | Satellite data reprocessing method and device and electronic equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102521687B (en) | 2014-12-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102521687B (en) | Miniaturized universal platform for preprocessing remote-sensing satellite data | |
| US10651926B2 (en) | State transfer among satellite platforms | |
| Bupe et al. | Relief and emergency communication network based on an autonomous decentralized UAV clustering network | |
| US10659149B2 (en) | Virtualized software payloads on satellite devices | |
| CN110716744A (en) | Data stream processing method, system and computer readable storage medium | |
| CN109684054A (en) | Information processing method and device, electronic equipment and memory | |
| CN109697153A (en) | Monitoring method, monitoring system and computer readable storage medium | |
| EP3462708B1 (en) | Network infrastructure system and method for data processing and data sharing using the same | |
| CN104935634B (en) | Mobile device data sharing method based on Distributed shared memory | |
| CN103019803A (en) | Virtual environment system for remote sensing satellite ground data processing grid node | |
| CN105322998A (en) | Data collection apparatus, data collection system and method for data collection in vehicles | |
| CN111698017A (en) | Satellite cloud measurement and control platform | |
| CN111526193A (en) | Distributed weather station system based on fog calculation and block chain platform and working method | |
| Astsatryan et al. | Scalable data processing platform for earth observation data repositories | |
| CN116527554A (en) | Monitoring system, method, equipment and storage medium based on service grid | |
| CN114696887B (en) | Remote sensing data on-orbit processing system and method based on earth observation space cloud service | |
| CN114969199A (en) | Method, device and system for processing remote sensing data and storage medium | |
| US20060173656A1 (en) | Dynamically tasking one or more surveillance resources | |
| CN203377910U (en) | Mass high-speed remote-sensing data real-time baseband processing system | |
| US7408457B2 (en) | Dynamically tasking one or more surveillance resources | |
| WO2006084032A1 (en) | Dynamically tasking one or more surveillance resources | |
| CN114697219B (en) | Network control method, equipment and system for live network | |
| CN114371938B (en) | Space-based intelligent networking edge computing framework | |
| US20230148034A1 (en) | System and Method for Coordinating and Executing Complex Communications Tasks Using Structured Messaging and Off-Line Synchronization | |
| CN117675548A (en) | Data acquisition method, device, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C53 | Correction of patent of invention or patent application | ||
| CB03 | Change of inventor or designer information |
Inventor after: Wang Zhizhong Inventor after: Xu Wen Inventor after: Yu Jin Inventor before: Wang Zhizhong |
|
| COR | Change of bibliographic data |
Free format text: CORRECT: INVENTOR; FROM: WANG ZHIZHONG TO: WANG ZHIZHONG XU WEN YU JIN |
|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |